Research on optimal allocation of accounting teaching resources in cloud computing environment based on genetic algorithm framework design

This paper takes the optimization of accounting teaching resources allocation as the starting point, and takes the intelligent paper grouping problem in accounting teaching resources under cloud computing environment as the research core to carry out in-depth research. In view of the characteristics of the grouping problem, the actual needs and standards of the grouping are studied in depth, and firstly, the mathematical model of the grouping problem is assumed based on the actual situation of the accounting examination paper, and the constraints of the grouping problem and the construction of the required objective function are completed. Subsequently, the chromosome coding method and fitness function of the genetic algorithm were designed, and the crossover and mutation methods in the genetic algorithm were adjusted, and the improved genetic algorithm was used to solve the problem. Through experimental comparison and analysis, the average accuracy of the improved algorithm in this paper was improved by 6.25% and 3.7% compared to that of the GA and AGA respectively. The time it takes to complete the accounting test paper grouping is lower than the traditional test grouping time, only 0.05s, which shows that the improved algorithm proposed in this paper is able to generate higher-quality test papers in a shorter period of time, and can effectively complete the task of optimizing the allocation of teaching resources for accounting in the cloud computing environment.